meta.sub.semipart: Confidence interval for a subgroup difference in average...

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Confidence interval for a subgroup difference in average semipartial correlations

Description

Computes the estimate, standard error, and confidence interval for a difference in average semipartial correlations for two subgroups of mutually exclusive studies. Each subgroup can have one or more studies.

Usage

meta.sub.semipart(alpha, n, cor, r2, group)

Arguments

alpha	alpha level for 1-alpha confidence
n	vector of sample sizes
cor	vector of estimated semi-partial correlations
r2	vector of squared multiple correlations for a model that includes the IV and all control variables
group	vector of group indicators: 1 for set A 2 for set B 0 to ignore

Value

Returns a matrix with three rows:

• Row 1 - estimate for Set A

• Row 2 - estimate for Set B

• Row 3 - estimate for difference, Set A - Set B

The columns are:

• Estimate - estimated average correlation or difference

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

Examples

n <- c(55, 190, 65, 35)
cor <- c(.40, .65, .60, .45)
r2 <- c(.25, .41, .43, .39)
group <- c(1, 1, 2, 0)	
meta.sub.semipart(.05, n, cor, r2, group)

# Should return:
#                Estimate         SE         LL        UL
# Set A:            0.525 0.05955276  0.3986844 0.6317669
# Set B:            0.600 0.07931155  0.4221127 0.7333949
# Set A - Set B:   -0.075 0.09918091 -0.2587113 0.1324682

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.